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Retrospective study of transcriptomic profiling identifies Thai triple-negative breast cancer patients who may benefit from immune checkpoint and PARP inhibitors

BACKGROUND: Triple-negative breast cancer (TNBC) is a rare and aggressive breast cancer subtype. Unlike the estrogen receptor-positive subtype, whose recurrence risk can be predicted by gene expression-based signature, TNBC is more heterogeneous, with diverse drug sensitivity levels to standard regi...

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Autores principales: Suntiparpluacha, Monthira, Chanthercrob, Jantappapa, Sa-nguanraksa, Doonyapat, Sitthikornpaiboon, Juthamas, Chaiboonchoe, Amphun, Kueanjinda, Patipark, Jinawath, Natini, Sampattavanich, Somponnat
Formato: Online Artículo Texto
Lenguaje:English
Publicado: PeerJ Inc. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10269579/
https://www.ncbi.nlm.nih.gov/pubmed/37334114
http://dx.doi.org/10.7717/peerj.15350
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author Suntiparpluacha, Monthira
Chanthercrob, Jantappapa
Sa-nguanraksa, Doonyapat
Sitthikornpaiboon, Juthamas
Chaiboonchoe, Amphun
Kueanjinda, Patipark
Jinawath, Natini
Sampattavanich, Somponnat
author_facet Suntiparpluacha, Monthira
Chanthercrob, Jantappapa
Sa-nguanraksa, Doonyapat
Sitthikornpaiboon, Juthamas
Chaiboonchoe, Amphun
Kueanjinda, Patipark
Jinawath, Natini
Sampattavanich, Somponnat
author_sort Suntiparpluacha, Monthira
collection PubMed
description BACKGROUND: Triple-negative breast cancer (TNBC) is a rare and aggressive breast cancer subtype. Unlike the estrogen receptor-positive subtype, whose recurrence risk can be predicted by gene expression-based signature, TNBC is more heterogeneous, with diverse drug sensitivity levels to standard regimens. This study explored the benefit of gene expression-based profiling for classifying the molecular subtypes of Thai TNBC patients. METHODS: The nCounter-based Breast 360 gene expression was used to classify Thai TNBC retrospective cohort subgroups. Their expression profiles were then compared against the previously established TNBC classification system. The differential characteristics of the tumor microenvironment and DNA damage repair signatures across subgroups were also explored. RESULTS: Thai TNBC cohort could be classified into four main subgroups, corresponding to the LAR, BL-2, and M subtypes based on Lehmann’s TNBC classification. The PAM50 gene set classified most samples as basal-like subtypes except for Group 1. Group 1 exhibited similar enrichment of the metabolic and hormone response pathways to the LAR subtype. Group 2 shared pathway activation with the BL-2 subtype. Group 3 showed an increase in the EMT pathway, similar to the M subtype. Group 4 showed no correlation with Lehmann’s TNBC. The tumor microenvironment (TME) analysis showed high TME cell abundance with increased expression of immune blockade genes in Group 2. Group 4 exhibited low TME cell abundance and reduced immune blockade gene expressions. We also observed distinct signatures of the DNA double-strand break repair genes in Group 1. CONCLUSIONS: Our study reported unique characteristics between the four TNBC subgroups and showed the potential use of immune checkpoint and PARP inhibitors in subsets of Thai TNBC patients. Our findings warrant further clinical investigation to validate TNBC’s sensitivity to these regimens.
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spelling pubmed-102695792023-06-16 Retrospective study of transcriptomic profiling identifies Thai triple-negative breast cancer patients who may benefit from immune checkpoint and PARP inhibitors Suntiparpluacha, Monthira Chanthercrob, Jantappapa Sa-nguanraksa, Doonyapat Sitthikornpaiboon, Juthamas Chaiboonchoe, Amphun Kueanjinda, Patipark Jinawath, Natini Sampattavanich, Somponnat PeerJ Bioinformatics BACKGROUND: Triple-negative breast cancer (TNBC) is a rare and aggressive breast cancer subtype. Unlike the estrogen receptor-positive subtype, whose recurrence risk can be predicted by gene expression-based signature, TNBC is more heterogeneous, with diverse drug sensitivity levels to standard regimens. This study explored the benefit of gene expression-based profiling for classifying the molecular subtypes of Thai TNBC patients. METHODS: The nCounter-based Breast 360 gene expression was used to classify Thai TNBC retrospective cohort subgroups. Their expression profiles were then compared against the previously established TNBC classification system. The differential characteristics of the tumor microenvironment and DNA damage repair signatures across subgroups were also explored. RESULTS: Thai TNBC cohort could be classified into four main subgroups, corresponding to the LAR, BL-2, and M subtypes based on Lehmann’s TNBC classification. The PAM50 gene set classified most samples as basal-like subtypes except for Group 1. Group 1 exhibited similar enrichment of the metabolic and hormone response pathways to the LAR subtype. Group 2 shared pathway activation with the BL-2 subtype. Group 3 showed an increase in the EMT pathway, similar to the M subtype. Group 4 showed no correlation with Lehmann’s TNBC. The tumor microenvironment (TME) analysis showed high TME cell abundance with increased expression of immune blockade genes in Group 2. Group 4 exhibited low TME cell abundance and reduced immune blockade gene expressions. We also observed distinct signatures of the DNA double-strand break repair genes in Group 1. CONCLUSIONS: Our study reported unique characteristics between the four TNBC subgroups and showed the potential use of immune checkpoint and PARP inhibitors in subsets of Thai TNBC patients. Our findings warrant further clinical investigation to validate TNBC’s sensitivity to these regimens. PeerJ Inc. 2023-06-12 /pmc/articles/PMC10269579/ /pubmed/37334114 http://dx.doi.org/10.7717/peerj.15350 Text en ©2023 Suntiparpluacha et al. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ) and either DOI or URL of the article must be cited.
spellingShingle Bioinformatics
Suntiparpluacha, Monthira
Chanthercrob, Jantappapa
Sa-nguanraksa, Doonyapat
Sitthikornpaiboon, Juthamas
Chaiboonchoe, Amphun
Kueanjinda, Patipark
Jinawath, Natini
Sampattavanich, Somponnat
Retrospective study of transcriptomic profiling identifies Thai triple-negative breast cancer patients who may benefit from immune checkpoint and PARP inhibitors
title Retrospective study of transcriptomic profiling identifies Thai triple-negative breast cancer patients who may benefit from immune checkpoint and PARP inhibitors
title_full Retrospective study of transcriptomic profiling identifies Thai triple-negative breast cancer patients who may benefit from immune checkpoint and PARP inhibitors
title_fullStr Retrospective study of transcriptomic profiling identifies Thai triple-negative breast cancer patients who may benefit from immune checkpoint and PARP inhibitors
title_full_unstemmed Retrospective study of transcriptomic profiling identifies Thai triple-negative breast cancer patients who may benefit from immune checkpoint and PARP inhibitors
title_short Retrospective study of transcriptomic profiling identifies Thai triple-negative breast cancer patients who may benefit from immune checkpoint and PARP inhibitors
title_sort retrospective study of transcriptomic profiling identifies thai triple-negative breast cancer patients who may benefit from immune checkpoint and parp inhibitors
topic Bioinformatics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10269579/
https://www.ncbi.nlm.nih.gov/pubmed/37334114
http://dx.doi.org/10.7717/peerj.15350
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